Monica Gannon's Email & Phone Number

💼 Past Experience

I worked at Solomon Page from February 2004 to February 2008 (4 years 1 month). I placed experienced technology professionals in full-time employment and consulting engagements across the full spectrum of technologies: application development, infrastructure, project management and business analysis, enterprise resource planning, data warehousing/business intelligence and quality assurance. Clients included Bloomberg, Morgan Stanley, Deutsche Bank and McKinsey & Co. I enjoyed using Scala, HBase, Redis, Cassandra, No SQL, Solr, HDFS, OpenStack, Cloud Computing, Amazon Web Services, Open Source, Big Data, Spark, Hadoop, Kafka, Spark, Storm, MapReduce, Hive, Pig, Oozie, Scribe/Flume, Mesos, Accumulo, Shark, Pandas, NumPy, MongoDB, NLP, natural language processing, machine learning, web crawling, information retrieval, text analysis, Lucene, Elasticsearch, Zookeeper, Docker, DevOps, SRE, site reliability engineer, systems reliability engineer, automation, continuous integration, Puppet, Chef, Jenkins, Maven, Neo4js, graph database, redundancy, low latency, parallel computing, high availability, scalability, test-driven development (TDD), messaging, real-time, C++, Java, C#, JavaScript, angular, node.js, backbone.js, GitHub, Python, Ruby, trading systems, portfolio analytics, market data, feed handlers, equities, fixed income, derivatives, fintech, C++ jobs, C++ recruiter, NYC recruiter, executive recruiter, Tech Recruiter, Search Consultant, Big Data Expert, Hadoop Engineer, Hadoop Infrastructure Engineer, spark platform engineer, quantitative developer, algo execution quant, algorithm developer.

🎓 Education

Monica Gannon's education and work readiness background is based on her B.S., Management Science at SUNY Geneseo from 2006-2013. Monica's economics degree from Temple University in Philadelphia, Pennsylvania, was also noteworthy and gave her the education and background to pursue a career in the corporate world. Monica's previous experience working in sales, marketing, and customer service at major corporations has given her valuable experience in the customer service industry. Monica possesses the character, skills, and traits that are necessary to excel in the corporate world.Monica Gannon brings over 25 years of customer service and sales experience to her new role as General Manager of the Data Science Research and Development Group at Google. With a background in data science, she is well positioned to address some of the company's most pressing data science needs. Gannon is responsible for the research and development of a new Google data science platform that will power the company's next-generation search, analytics, and machine learning products. In this role, she will work closely with the Cloud andgorithms groups to improve the efficiency, performance, and accuracy of Google's data science products.Gannon has also held a number of other key management roles at Google. From styrene administrators in the manufacturing area to the company's senior vice president for human resources, Gannon has a breadth of experience that gives her a competitive edge when it comes to addressing human resources issues.Gannon has also had success in her business career. Gannon has been a successful entrepreneur, having founded multiple businesses over the past five years. Her businesses have specialized in different areas, but all of them have been successful and continue to operate today.Monica Gannon brings significant business experience to her new role as General Manager of the Data Science Research and Development Group at Google. With a background in data science, she is well positioned to address some of the company's most pressing data science needs. Gannon is also responsible for the research and development of a new Google data science platform that will power the company's next-generation search, analytics, and machine learning products. In this role, she will work closely with the Cloud andgorithms groups to improve the efficiency, performance, and accuracy of Google's data science products.

💡 Technical & Interpersonal Skills

Screening and Interviewing candidates for Technology executive search and placement. My experience with technologyExecutive search is my forte and I have thorough experience in the following: - scoping out the competitive and available technologies for a future project- providingalpha feedback to candidates on the best technologies for their desired role- traveling to meet with potential clients- providing technical support for candidates during interviews and/or specific project phases- networking with potential clients and colleagues in the industryTechnical skills:- Hadoop (or any ESRI platform)- Scala- Cassandra- NoSQL- Solr (or any Hadoop component)- HDFS- OpenStack- Cloud Computing- Amazon Web Services- Shockwave Player- Spike- Kafka- Spark- Storm- MapReduce